01728013

Component

https://doi.org/10.1177/0361198119900169

University campuses generate large volumes of traffic, with students forming the largest user class with distinctive trip characteristics. This study examined the parking choices of students at a large urban campus. A student survey was conducted with 1,022 respondents to collect data on students’ parking behavior, intelligent transportation systems (ITS) needs, and level of service (LOS) expectations. The survey results included home-to-campus mode choices, arrival time buffers, parking locations, “last-mile” mode choices, and factors that influence the type of permit to purchase. Online permit sales, flexible parking zones, and real-time parking lot availability information were the three most preferred ITS enabled services. Using the survey feedback, new LOS criteria for parking search time are proposed, which range from up to 2 min for LOS A, to longer than 15 min for LOS F. This research makes several contributions. The survey results not only contribute to a better understanding of student transportation choices and parking patterns on campus, but the list of preferred ITS enabled services also gives the university valuable user feedback on where to improve the campus parking experience. More importantly, the LOS criteria for parking search time provides a new tool for traffic engineers to measure the quality of service of a parking facility. Although the survey was conducted on a particular campus, information gathered for the ITS enabled services for parking and LOS criteria for parking search time are likely to be transferable to other university campuses.

The contents of this paper reflect the views of the authors, who are responsible for the facts and the accuracy of the information presented. This document is disseminated in the interest of information exchange. The research is funded, partially or entirely, by a grant from the U.S. Department of Transportation’s University Transportation Centers Program. However, the U.S. Government assumes no liability for the contents or use thereof. © National Academy of Sciences: Transportation Research Board 2020.

English

0000-0003-3583-0672

2019

Transportation Research Record: Journal of the Transportation Research Board

Web

References (32)

Campus parking; Intelligent transportation systems; Level of service; Real time information; Surveys

Data and Information Technology; Highways; Operations and Traffic Management

TRIS, TRB, ATRI

Jan 17 2020 3:03PM

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